Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model

By Peter H. Verburg, W. Soepboer, A. Veldkamp, Ramil Limpiada, Victoria O. Espaldon, S. Mastura. Environmental Management, 2002

1,552 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/50ce502b7f186c15610a73a71b20f6567939c7fa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Agricultural and Biological Sciences

1. Peter H. Verburg
2. Yang Zhou
3. H. Meijl
4. Yan-sui Liu
5. B. Eickhout
6. Daniel Müller
7. A. Veldkamp
8. Shaojian Wang

In Global and Planetary Change

1. Peter H. Verburg
2. Yang Zhou
3. Jinping Song
4. Huiran Han
5. Chengfeng Yang
6. A. Veldkamp
7. Yan-sui Liu
8. M. Bürgi

Citations in the corpus

• Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method (2018, methodology): “A similar operation to address the future changes in driving factors has been adopted in the CLUE-s series model (Verburg et al., 2002).”
• Scenarios of Future Urban Land Use in Europe (2006, background): “Regional-scale approaches are also limited by being unable to address multilevel driving forces, which are considered to be important for the development of land-use-change scenarios (Engelen et al, 2003; Verburg et al, 2002; Wagtendonk et al, 2001).”
• Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China (2015, methodology): “The equation is expressed as follows [31,37]:”
• Issues in spatially explicit statistical land-use/cover change (LUCC) models: Examples from western (2007, background): “Cross-process data integration can be particularly difficult, as the units of analysis, spatial extent, resolution and relevant time frame may not coincide (Bockstael, 1996; Verburg et al., 2002).”
• Comparing the input, output, and validation maps for several models of land change (2008, methodology): “CLUE-S is designed to work with fine resolution data where each pixel represents a single dominant land use, rather than a heterogeneous mix of various categories as in the original CLUE model (Verburg et al. 2002; Verburg and Veldkamp 2004).”
• A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects (2017, methodology): “…proposed method over the existing multiple LUCC simulation models, we compared the performance of the proposed method to that of three well-accepted models: the Logistic-CA model (Li et al., 2013; Wu, 2002), the traditional ANNCA model (Li & Yeh, 2002), and the CLUE-S model (Verburg et al., 2002).”
• Modelling land use change and environmental impact. (2004, background): “Physical scientists, geographers and ecologists focus more on land at the macro-scale, through remote sensing and GIS, and using macro-properties of social organisation in order to identify social factors connected to the macro-scale patterns (Verburg et al., 2002).”
• Efficiency of construction land allocation in China: An econometric analysis of panel data (2018, methodology): “Linear programming, system dynamics and the Pareto front model, as well as genetic algorithms, are often used to optimize land use allocation (Liu, 1999; Verburg et al., 2002; Stewart et al., 2004; Zhang et al., 2011; Masoomi et al., 2013; Gong et al., 2012; Zhou, 2015).”
• Spatial autocorrelation in multi-scale land use models (2003, neutral): “Examples of statistical approaches in gridded spatial data are CLUE (Veldkamp et al., 2001; Verburg et al., 2002 ) and GEOMOD (Pontius et al., 2001).”
• Driving forces of landscape change - current and new directions (2004, positive): “The identification of causal relationships, however, is a prerequisite for modelling land-use and land-cover changes and for predictive studies e.g., Serneels and Lambin 2001; Irwin and Geogheagan 2001; Verburg et al. 2002; Veldkamp and Lambin 2001; Agarwal et al. 2002 .”
• Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China (2020, background): “However, for decision-makers, many of the existing CA models are still: (1) weak at revealing the underlying drivers of land use change (Sohl & Claggett, 2013); and (2) unable to spatio-temporally capture the evolution of patches of multiple land uses, especially for the patch evolution of natural l”